AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 11 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Recursive self-improvement (RSI) seeks to enable AI systems to participate in improving their own capabilities. A concrete pathway is autonomous model development, where agents iteratively explore post-training strategies to improve a base model. This setting faces two challenges: agents may exploit open-ended experime...
This paper formalizes two specification-induced risks in the learnware paradigm and shows that the resulting DP guarantees control both disclosure risk and amplification risk, and analyzes the induced privacy–utility trade-off to guide effective learn-ware identification while preserving privacy.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.